Results from large COVID-19 surveys are used to inform policy with real-time numbers as CDC information is often delayed. But researchers find flaws in designs and methodologies along with large overestimations. Learn more:
Dec. 9, 2021 -- Bigger surveys are not necessarily more accurate, a paper published online today inAuthors, led by doctoral student Valerie C. Bradley, with the University of Oxford in the United Kingdom, write that increasing the data size can magnify survey bias, an effect known as the Big Data Paradox.
“By May 2021, Delphi–Facebook overestimated uptake by 17 percentage points and Census Household Pulse by 14, compared to a benchmark from the ,” according to the paper. “In addition to the damage done to efforts to combat COVID, these surveys play into a popular misconception -- that data size can overcome low data quantity,” Bradley says,
Coauthor Seth Flaxman, PhD, with the University of Oxford, saysthe Facebook survey did not adjust for education or race, and the Census survey could not adjust for political partisanship.
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